中国地形三大阶梯面向对象的定量划分

发布时间：2018-05-12 17:35

本文选题：三大地形阶梯 + 面向对象　；参考：《遥感信息》2017年02期

【摘要】：针对我国"三大地形阶梯"划分偏于定性描述,边界不够精确的问题,提出了面向对象的定量划分方法。以GTOPO30 DEM数据为基础,提取地形起伏度、光照晕渲及平均高程3因子组合成特征影像,结合海拔频率分布,利用遥感面向对象分类法进行我国地形三大阶梯的自动划分。实验所得分界线与传统的描述性边界吻合;与以单个栅格为基本单位进行定量划分的方法相比,该方法所得界线既兼顾了细节上的精细、合理,又具有地貌边界的光滑性,边界地貌实体的完整性,且后期编辑处理工作量小,减少了人为因素的干扰,提高了三大阶梯划分的自动化水平。实验结果为揭示我国地势总体的空间分异格局提供了数据基础。
[Abstract]:In order to solve the problem that the classification of "three major topographic steps" in China is partial to qualitative description and the boundary is not accurate enough, an object-oriented quantitative partition method is proposed. Based on GTOPO30 DEM data, three factors of terrain relief, shading and average elevation were extracted to form a feature image, and the automatic classification of the three steps of terrain in China was carried out by using remote sensing object oriented classification method, combined with the distribution of altitude frequency. The boundary obtained by the experiment is consistent with the traditional descriptive boundary, and compared with the method of quantitative division with a single grid as the basic unit, the boundary obtained by this method not only takes into account the fine and reasonable details, but also has the smoothness of the geomorphologic boundary. The integrity of the boundary geomorphologic entity and the small amount of editing and processing in the later stage reduce the interference of human factors and improve the automation level of the three steps. The experimental results provide a data basis for revealing the spatial differentiation pattern of China's topographic population.
【作者单位】：南京信息工程大学地理与遥感学院;94860部队;
【基金】：国家自然科学基金(41101196)
【分类号】：P237;P942

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